At a Glance
- Tasks: Build real-world AI for safety-critical settings, focusing on policing.
- Company: Innovative team working on cutting-edge AI technology.
- Benefits: Competitive salary, flexible work options, and opportunities for growth.
- Other info: Join a dynamic team in London or Amsterdam with negotiable roles.
- Why this job: Make a meaningful impact in AI while tackling challenging engineering problems.
- Qualifications: Research-minded engineers with a background in computer vision or multimodal models.
The predicted salary is between 60000 - 80000 £ per year.
We're hiring a few people, and are looking for research-minded engineers to build real-world AI for safety- and privacy-critical settings, specifically policing. For police to serve people in a transparent and consensus-based way is demanding for many reasons. Lack of good interactive tools should not be among their challenges.
The roles span from cloud training infrastructure to inference on low-power edge devices. We want people who think like scientists: you form hypotheses, design experiments, build or stress-test benchmarks, and make progress while mitigating for uncertainty.
Several roles are open, and for strong candidates with range, the lines between them are negotiable:
- Vision-language models - data preparation, architecting, training, and applied research.
- Vision model distillation & edge deployment - training and shipping models for low-power devices.
- Cloud engineering for ML - training and inference infrastructure at scale.
A computer-vision background is one natural fit. But we're working on multimodal models, so your ability to absorb and apply new findings might show up on your CV in other ways.
Published, shipped, or both? If you like hard engineering problems end-to-end, let's talk.
(Team is partly in central London and partly in Amsterdam, so it's ideal if you're local or open to relocating)
If you're excited by this but not sure you fit, please reach out anyway. We'd rather hear from you than have you count yourself out.
Research Engineers, Computer Vision & Multimodal AI in London employer: Stealth AI Startup (Policing)
As a leading innovator in AI technology, we offer Research Engineers the opportunity to work on impactful projects that enhance safety and privacy in policing. Our collaborative work culture fosters scientific thinking and creativity, while our commitment to employee growth ensures you will have access to continuous learning and development opportunities. With teams based in both central London and Amsterdam, you'll enjoy a dynamic environment that values transparency and consensus, making it an excellent place for those looking to make a meaningful contribution.
Contact Details:
Stealth AI Startup (Policing) Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Research Engineers, Computer Vision & Multimodal AI in London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those working in AI and computer vision. Attend meetups or webinars, and don’t be shy about sliding into DMs on LinkedIn. You never know who might have the inside scoop on job openings!
✨Tip Number 2
Show off your skills! Create a portfolio that highlights your projects related to AI, especially those involving multimodal models or edge deployment. This is your chance to demonstrate your hands-on experience and problem-solving abilities, so make it shine!
✨Tip Number 3
Prepare for interviews by brushing up on your scientific thinking. Be ready to discuss how you form hypotheses and design experiments. We love candidates who can articulate their thought process, so practice explaining your past projects and the challenges you faced.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, if you’re excited about the role but unsure if you fit perfectly, just reach out. We value enthusiasm and would love to hear from you regardless of your background!
We think you need these skills to ace Research Engineers, Computer Vision & Multimodal AI in London
Some tips for your application 🫡
Show Your Research Mindset:We want to see that you think like a scientist! Highlight any experience where you've formed hypotheses, designed experiments, or tackled complex problems. This will show us you're ready to dive into the challenges we face in AI for policing.
Tailor Your CV:Make sure your CV reflects your skills and experiences relevant to the roles we're offering. Whether it's cloud engineering, model distillation, or multimodal models, let us know how your background fits into our vision!
Be Clear and Concise:When writing your application, keep it straightforward. We appreciate clarity, so avoid jargon unless it's necessary. Make it easy for us to see why you're a great fit for our team!
Apply Through Our Website:Don't forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, we love seeing candidates who take that extra step!
How to prepare for a job interview at Stealth AI Startup (Policing)
✨Know Your Stuff
Make sure you brush up on the latest trends in computer vision and multimodal AI. Familiarise yourself with key concepts, tools, and techniques relevant to the role. Being able to discuss recent advancements or your own projects will show that you're genuinely interested and knowledgeable.
✨Prepare for Hypothesis-Driven Questions
Since the role requires a scientific mindset, be ready to discuss how you form hypotheses and design experiments. Think of examples from your past work where you tackled uncertainty and how you approached problem-solving. This will demonstrate your analytical skills and thought process.
✨Showcase Your Engineering Experience
Whether it's cloud engineering or edge deployment, have specific examples ready that highlight your experience in building and shipping models. Talk about challenges you faced and how you overcame them. This will help the interviewers see your practical skills in action.
✨Be Open About Your Fit
If you're excited about the role but unsure if you meet all the criteria, don’t hesitate to express that. Share your willingness to learn and adapt, and highlight any transferable skills. Remember, they’re looking for strong candidates who can grow into the role, so showing enthusiasm is key!
